Evidence map›Paper›PMID 27695203›Full record

ArticleJournal of the Royal Statistical Society. Series A, (Statistics in Society)2015

Estimating the health benefit of reducing indoor air pollution in a randomized environmental intervention.

Roger D Peng, Arlene M Butz, Amber J Hackstadt, D'Ann L Williams, Gregory B Diette, Patrick N Breysse, Elizabeth C Matsui

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Statistical Society. Series A, (Statistics in Society), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Roger D PengDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health.
Arlene M ButzDivision of General Pediatrics, Johns Hopkins School of Medicine.
Amber J HackstadtDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health.
D'Ann L WilliamsDepartment of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health.
Gregory B DietteDivision of Pulmonary and Critical Care Medicine, Johns Hopkins School of Medicine.
Patrick N BreysseDepartment of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health.
Elizabeth C MatsuiDivision of Pediatric Allergy and Immunology, Johns Hopkins School of Medicine.
Johns Hopkins University · US

Funding

ZINC AND CA EDTA THERAPY OF PLUMBISMM01RR000052 · NCRR · JOHNS HOPKINS UNIVERSITY · PI BELCHER, HAROLYN MILLICENT EDITH · 1985 to 2007
$37.3M
PILOT STUDY--ACID FOG, AN EXPERIMENTAL MODELP30ES003819 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI GROOPMAN, JOHN D · 1985 to 2012
$22.6M
Oxidative Stress & Inflammation in a Human PM Nasal ChallengeP50ES015903 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI BREYSSE, PATRICK N · 2007 to 2011
$12.1M
Mouse Allergen and Asthma Intervention TrialU01AI083238 · NIAID · JOHNS HOPKINS UNIVERSITY · PI MATSUI, ELIZABETH C. · 2010 to 2014
$7.9M
Project 3: Dissecting the Diet Asthma Relationship in Mice Models of AsthmaP01ES018176 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI DIETTE, GREGORY B · 2009 to 2013
$4.2M
Mouse Allergen and Inner-City AsthmaR01AI070630 · NIAID · JOHNS HOPKINS UNIVERSITY · PI MATSUI, ELIZABETH C. · 2006 to 2010
$1.9M
Pre-Doctoral Training in Environmental BiostatisticsT32ES012871 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI PENG, ROGER · 2004 to 2014
$1.9M
Statistical Methods for Complex Enivronmental Health DataR01ES019560 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI PENG, ROGER · 2011 to 2015
$1.8M
Extreme Heat and Human Health: Characterizing Vulnerability in a Changing ClimateR21ES020152 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI PENG, ROGER · 2011 to 2012
$482k
NCRR NIH HHS M01 RR000052NIAID NIH HHS R01 AI070630NIAID NIH HHS U01 AI083238NIEHS NIH HHS P01 ES018176NIEHS NIH HHS P30 ES003819NIEHS NIH HHS P50 ES015903NIEHS NIH HHS R01 ES019560NIEHS NIH HHS R21 ES020152NIEHS NIH HHS T32 ES012871
6 · The paper itself

Abstract

Recent intervention studies targeted at reducing indoor air pollution have demonstrated both the ability to improve respiratory health outcomes and to reduce particulate matter (PM) levels in the home. However, these studies generally do not address whether it is the reduction of PM levels specifically that improves respiratory health. In this paper we apply the method of principal stratification to data from a randomized air cleaner intervention designed to reduce indoor PM in homes of children with asthma. We estimate the health benefit of the intervention amongst study subjects who would experience a substantial reduction in PM in response to the intervention. For those subjects we find an increase in symptom-free days that is almost three times as large as the overall intention-to-treat effect. We also explore the presence of treatment effects amongst those subjects whose PM levels would not respond to the air cleaner. This analysis demonstrates the usefulness of principal stratification for environmental intervention trials and its potential for much broader application in this area.

Indexed as

asthmaBayesianclinical trialparticulate matterprincipal stratification

Identifiers

PMID27695203
PMCPMC5042208
OpenAlexW2035449394

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.